A Positioning Method in Wireless Sensor Networks Using Genetic Algorithms

Mojtaba Romoozi, H. Ebrahimpour-Komleh
{"title":"A Positioning Method in Wireless Sensor Networks Using Genetic Algorithms","authors":"Mojtaba Romoozi, H. Ebrahimpour-Komleh","doi":"10.4156/JDCTA.VOL4.ISSUE9.21","DOIUrl":null,"url":null,"abstract":"Abstract The recent area of Wireless Sensor Networks (WSNs) has brought new challenges to developers of net-work protocols. Energy consumption and network coverage are two important challenges in wireless sensor networks. We investigate intelligent techniques for node positioning to reduce energy consumption with coverage preserved in wireless sensor network. A genetic algorithm Is used to create energy efficient node positioning in wireless sensor networks. The simulation result shown that the proposed intelligent algorithm can extend the network network lifetime for different network positioning method.","PeriodicalId":293875,"journal":{"name":"J. Digit. Content Technol. its Appl.","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Digit. Content Technol. its Appl.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4156/JDCTA.VOL4.ISSUE9.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31

Abstract

Abstract The recent area of Wireless Sensor Networks (WSNs) has brought new challenges to developers of net-work protocols. Energy consumption and network coverage are two important challenges in wireless sensor networks. We investigate intelligent techniques for node positioning to reduce energy consumption with coverage preserved in wireless sensor network. A genetic algorithm Is used to create energy efficient node positioning in wireless sensor networks. The simulation result shown that the proposed intelligent algorithm can extend the network network lifetime for different network positioning method.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一种基于遗传算法的无线传感器网络定位方法
无线传感器网络(WSNs)的发展给网络协议的开发者带来了新的挑战。能量消耗和网络覆盖是无线传感器网络面临的两个重要挑战。我们研究了无线传感器网络中节点定位的智能技术,以减少能量消耗并保持覆盖范围。提出了一种基于遗传算法的无线传感器网络节点高效定位方法。仿真结果表明,对于不同的网络定位方法,所提出的智能算法可以延长网络的网络寿命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Semi-supervised Distributed Clustering with Mahalanobis Distance Metric Learning Normalized Direct Linear Discriminant Analysis with its Application to Face Recognition Decryptable Public Key Encryption with Keyword Search Schemes The Partner Selection in Virtual Enterprise based on BDI Agent Moderate Effect of Job Commitment on the Relationship between Employees' Emotional Labor and Burnout
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1